GeoTessera Python library released for geospatial embeddings

We've been having great fun at the EEG recently releasing embeddings of our new TESSERA geospatial foundation model. A foundation model is designed to be used for downstream tasks without having to retrain a full model for every individual task.

Authors

Publication Details

Journal
Front Matter
Published
2025-08-31
DOI
https://doi.org/10.59350/7hy6m-1rq76
Citations
14
Primary Topic
Geographic Information Systems Studies
Type
article
Field-Weighted Citation Impact
94.11
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article

GeoTessera Python library released for geospatial embeddings

Anil Madhavapeddy
14 citations
Front Matter
Geographic Information Systems Studies
94.11
article

GeoTessera Python library released for geospatial embeddings

Anil Madhavapeddy
article en
14 citations

Abstract

We've been having great fun at the EEG recently releasing embeddings of our new TESSERA geospatial foundation model. A foundation model is designed to be used for downstream tasks without having to retrain a full model for every individual task.

Front Matter
Openalex Percentile: Top 0%
Geographic Information Systems Studies
94.11
DOIOpen Access PDFOpenAlex
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GeoTessera Python library released for geospatial embeddings — Anil Madhavapeddy · Front Matter (2025) | TGRS Research Map | TGRS